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» Mining frequent itemsets in time-varying data streams
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PAKDD
2004
ACM
94views Data Mining» more  PAKDD 2004»
15 years 3 months ago
Self-Similar Mining of Time Association Rules
Although the task of mining association rules has received considerable attention in the literature, algorithms to find time association rules are often inadequate, by either miss...
Daniel Barbará, Ping Chen, Zohreh Nazeri
SDM
2011
SIAM
242views Data Mining» more  SDM 2011»
14 years 15 days ago
Fast Algorithms for Finding Extremal Sets
Identifying the extremal (minimal and maximal) sets from a collection of sets is an important subproblem in the areas of data-mining and satisfiability checking. For example, ext...
Roberto J. Bayardo, Biswanath Panda
72
Voted
VLDB
2002
ACM
106views Database» more  VLDB 2002»
14 years 9 months ago
Approximate Frequency Counts over Data Streams
We present algorithms for computing frequency counts exceeding a user-specified threshold over data streams. Our algorithms are simple and have provably small memory footprints. A...
Gurmeet Singh Manku, Rajeev Motwani
64
Voted
FIMI
2004
123views Data Mining» more  FIMI 2004»
14 years 11 months ago
Surprising Results of Trie-based FIM Algorithms
Trie is a popular data structure in frequent itemset mining (FIM) algorithms. It is memory-efficient, and allows fast construction and information retrieval. Many trie-related tec...
Ferenc Bodon
ICDM
2002
IEEE
114views Data Mining» more  ICDM 2002»
15 years 2 months ago
Online Algorithms for Mining Semi-structured Data Stream
In this paper, we study an online data mining problem from streams of semi-structured data such as XML data. Modeling semi-structured data and patterns as labeled ordered trees, w...
Tatsuya Asai, Hiroki Arimura, Kenji Abe, Shinji Ka...